CN113884016A - Battery piece warping degree detection method - Google Patents
Battery piece warping degree detection method Download PDFInfo
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- CN113884016A CN113884016A CN202110665890.8A CN202110665890A CN113884016A CN 113884016 A CN113884016 A CN 113884016A CN 202110665890 A CN202110665890 A CN 202110665890A CN 113884016 A CN113884016 A CN 113884016A
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- battery piece
- warping degree
- distance
- grid line
- object distance
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- 238000001514 detection method Methods 0.000 title abstract description 9
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000005259 measurement Methods 0.000 abstract description 6
- 238000011897 real-time detection Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 abstract description 2
- 238000005070 sampling Methods 0.000 abstract description 2
- 210000004027 cell Anatomy 0.000 description 6
- 238000003384 imaging method Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000003644 lens cell Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 238000005245 sintering Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention provides a method for detecting warping degree of a battery piece. The invention applies machine vision technology, has no contact detection, and has no secondary damage to the battery piece. The online real-time detection is realized, and the efficiency is higher compared with the existing measurement mode. And 4, the detection of all the battery pieces is realized without sampling inspection.
Description
Technical Field
The invention relates to the technical field of battery preparation, in particular to a method for detecting warping degree of a battery piece.
Background
In the production process of the battery piece, due to the fact that the silicon wafer or the aluminum paste is too thick, the temperature of a sintering furnace is controlled and the like, the warping degree of the battery piece is too large, the quality of the battery piece is affected, and the battery piece is prone to being crazed or broken in the transportation or assembly process of the battery piece, so that waste is caused.
At present, for the measurement of the warping degree of a battery piece, a special warping degree measuring instrument is provided, and the corresponding warping degree can be measured by placing the battery piece on the measuring instrument. In the mode, the battery piece needs to be manually checked, and the measuring instrument is manually operated to detect, so that online real-time detection cannot be realized; and due to the physical contact measurement, the battery piece may be scratched in the detection process.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a method for detecting the warping degree of a battery piece based on machine vision.
A method for detecting warping degree of a battery piece comprises the step of determining warping degree of the battery piece according to grid line intervals on the battery piece.
Further, as the method described above, the method for determining the warpage includes:
step 1: acquiring the central coordinate of the battery piece image, and selecting a small-range central region ROI according to the central coordinate frame:
step 2: fitting the transverse auxiliary grid lines in the ROI area to obtain grid lines in the ROI area;
and step 3: and calculating the warping degree according to the fitted grid line.
Further, in the method as described above, the calculating of the warp in step 3 includes:
wherein Z1 is the adjusted object distance; x1 is the theoretical length of the distance between grid lines of the cell in the camera; x2 is a grid line spacing distance L calculated after the image is analyzed; and the actual side length of the X battery piece is long.
Further, the method as described above, before determining the gate line interval, comprises the steps of:
step (1): calibrating the object distance, and adjusting the object distance to a specified length;
step (2): adjusting and calculating the parameters of the grid line;
the parameters include: the method comprises the following steps of (1) object distance, lens focal length, target surface size, camera resolution, actual grid line interval length of a battery piece and actual size of the battery piece;
and (3): and adjusting the position of the battery piece to enable the center of the battery piece to be positioned right below the lens.
Has the advantages that:
1. the method provided by the invention applies a machine vision technology, has non-contact detection, and has no secondary damage to the battery piece.
2. The online real-time detection is realized, and the efficiency is higher compared with the existing measurement mode.
3. And 4, the detection of all the battery pieces is realized without sampling inspection.
Drawings
FIG. 1 is a schematic diagram of pinhole imaging;
FIG. 2 is a graph of image difference due to warp;
FIG. 3 is a schematic view of an imaging similar triangle;
FIG. 4 is a collected image of a cell;
FIG. 5 is a flow chart of the detection method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention are described clearly and completely below, and it is obvious that the described embodiments are some, not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a method for detecting the warping degree of a battery piece. The warping degree is measured not by measuring the size change of the battery piece, but by calculating the warping deformation of the battery piece, the distance between grid lines is changed in an image collected right above the battery piece.
Specifically, according to the basic principle of camera imaging, the image acquired by a non-telecentric lens has the characteristic that the shot object has a large size and a small size, and the difference of the object distance (the distance from the object to the lens) is indirectly calculated by using the difference of the sizes, so that the warping degree is indirectly calculated.
As shown in fig. 5, the method for detecting warpage of a battery piece provided by the present invention includes:
the method comprises the following steps: calibrating the object distance, and adjusting the object distance to a specified length;
step two: adjusting and calculating the parameters of the grid line;
the parameters include: the method comprises the following steps of (1) object distance, lens focal length, target surface size, camera resolution, actual grid line interval length of a battery piece and actual size of the battery piece;
step three: and adjusting the position of the battery piece to enable the center of the battery piece to be positioned right below the lens.
Step four: acquiring the central coordinate of the battery piece image, and selecting a small-range central region ROI according to the central coordinate frame:
step five: fitting the transverse auxiliary grid lines in the ROI area to obtain grid lines in the ROI area;
step six: and calculating the warping degree according to the fitted grid line.
Wherein, the formula for calculating the warping degree is as follows:
wherein Z1 is the adjusted object distance; x1 is the theoretical length of the distance between grid lines of the cell in the camera; x2 is a grid line spacing distance L calculated after the image is analyzed; and the actual side length of the X battery piece is long.
The detection principle is as follows:
as shown in fig. 1, the object to be shot is located in front of the lens, and the object is imaged on the target surface of the camera according to the principle of pinhole imaging. By using the FA lens, the shot object can present big-end-up characteristics on the target surface of the camera. In the scheme, the distance between the grid lines printed on the battery piece is regarded as a shot object, and the battery piece is warped, so that the distance between the grid lines and the lens is reduced, the distance between the grid lines is changed in an image, and the warping degree can be calculated according to the difference. As shown in fig. 2, images of the battery pieces with different warping degrees are collected, and in the images, the grid line intervals near the centers of the battery pieces are different.
As shown in fig. 3, from the proportional relationship of similar triangles, we can obtain:
combined standTwo equations can be derived:
wherein: f is the focal length of the lens, and the parameter is fixed after the hardware equipment is selected.
X1: size of object imaged in camera target surface at time of position 1
X2: size of object imaged in camera target surface at time 2
Z1: object distance of object at time 1
Z2 object distance of object at time 2
X actual size of object
Z2 is regarded as the object distance of the battery piece after warping, so the object distance of the battery piece after warping can be calculated
D＝Z1-Z2
According to the size of the battery piece, calculating the warping degree of the battery piece as D/X, and obtaining after finishing:
after the hardware device is determined, the target surface size, the horizontal-vertical resolution and the focal length of the lens of the camera are fixed, the object distance is adjusted to a specified size WD (i.e., the length Z1 in fig. 3), and the view dimension is calculated according to a camera view fov (field of vision) calculation formula.
Transverse field of view Size FOV (object distance (WD) × target Size (Size))/lens focal length (f)
According to the resolution Res of the camera, the actual size corresponding to one pixel can be determined:
precision P-FOV/Res
So for the actual cell grid separation distance D, the theoretical length in the camera is X1-D/P-D Res/FOV.
And analyzing and processing the acquired battery piece image with a certain warping degree, extracting grid lines near the center of the image, and calculating the spacing distance L of the grid lines in a small range.
All known variables are substituted into the warp equation:
wherein Z1 is the adjusted object distance WD
X1 is the result calculated in the preceding paragraph X1. D. Res/FOV
X2 is the grid line spacing distance L calculated after the image is analyzed and processed
And X is the actual side length of the cell.
The method is realized according to the basic principle of camera imaging, the shot object has the characteristics of big and small distances by using the image collected by the non-telecentric lens, and the difference of the object distance (the distance from the object to the lens) is indirectly calculated by utilizing the difference of the sizes, so that the warping degree is indirectly calculated.
The invention has the following characteristics:
1. firstly, calibrating the object distance of the image acquisition equipment, and adjusting the object distance to be a specified distance.
2. Relevant parameters are input into the system, such as the spacing distance between normal grid lines.
3. And acquiring an image, and calculating the minimum distance from the lens cell to the lens through the relevant characteristic value of the grid line by an image processing program, thereby calculating the warping degree of the cell according to the calibrated object distance.
The invention achieves the following objectives:
1. the real-time online measurement and monitoring of the warping degree are realized, the batch abnormity is timely alarmed, production personnel are reminded of handling abnormity, and the waste of raw materials is reduced.
2. And the non-contact measurement can not cause secondary damage.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (4)
1. The method for detecting the warping degree of the battery piece is characterized by comprising the step of determining the warping degree of the battery piece according to the grid line interval on the battery piece.
2. The method of claim 1, wherein the determining the warp comprises:
step 1: acquiring the central coordinate of the battery piece image, and selecting a small-range central region ROI according to the central coordinate frame:
step 2: fitting the transverse auxiliary grid lines in the ROI area to obtain grid lines in the ROI area;
and step 3: and calculating the warping degree according to the fitted grid line.
3. The method of claim 2, wherein the calculating of warp in step 3 comprises:
wherein Z1 is the adjusted object distance; x1 is the theoretical length of the distance between grid lines of the cell in the camera; x2 is a grid line spacing distance L calculated after the image is analyzed; and the actual side length of the X battery piece is long.
4. The method of claim 2, prior to determining the gate line spacing, comprising the steps of:
step (1): calibrating the object distance, and adjusting the object distance to a specified length;
step (2): adjusting and calculating the parameters of the grid line;
the parameters include: the method comprises the following steps of (1) object distance, lens focal length, target surface size, camera resolution, actual grid line interval length of a battery piece and actual size of the battery piece;
and (3): and adjusting the position of the battery piece to enable the center of the battery piece to be positioned right below the lens.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116538918A (en) * | 2023-04-07 | 2023-08-04 | 钛玛科（北京）工业科技有限公司 | Lithium battery material measurement correction method and device |
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